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1. tscbn tscbn Public

   The Machine Learning Model "Temporal State Change Bayesian Networks" are a probabilistic way of capturing multivariate state sequences as described in the according publication.

   Python

2. IVNS IVNS Public

   Forked from PhilippMundhenk/IVNS

   The In-Vehicle Network Simulator (IVNS) is a Python-based simulator, allowing to evaluate parameterized software models of automotive networks for timing and security, among others.

   Python 1 3

3. shot-detection shot-detection Public

   My Machine Learning (using Deep Learning LSTMs vs. Classical ML approaches) solution to discovering shot events in handball.

   Python

4. distribution-based-similarity-estimation distribution-based-similarity-estimation Public

   A Machine Learning model that can be used to estimate the remaining useful life in timeseries. We introduced this approach in "Generalizing application agnostic remaining useful life estimation usi…

   Python

5. bayspec bayspec Public

   BaySpec is a Machine Learning Specification Mining algorithm that uses Bayesian networks that are created with the python library libpgm as an input and finds specifications in the network as most …

   Python 1 1

6. sarvo-next sarvo-next Public

   This is an app that was build with Ionic as frontend and Django as backend. This app is no longer supported. However I added it to my profile to showcase my technical skills in this field.

   TypeScript